Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Первая рольПонятные задачиРастущий AI-секторАктуальные инструменты
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
GTM Data Analyst (Salesforce/SQL): Building Netic's go-to-market data foundation, including account and contact standards, a total addressable market model, enrichment workflows, and data quality monitoring with an accent on Salesforce data management and operational analytics. Focus on designing data models, automating validation and cleanup, and solving territory, routing, forecasting, and commission data challenges.
Location: San Francisco, United States. On-site.
Company
hirify.global is an AI revenue engine for essential services, helping home services companies book jobs across North America.
What you will do
Own the GTM data model, including account, contact, hierarchy, required-field, record-creation, matching, and merging standards.
Build and maintain a total addressable market model covering home services businesses by trade, geography, and location count, synchronized with Salesforce.
Design and run enrichment workflows for firmographics and decision-maker contacts, measuring source coverage and accuracy.
Define data quality metrics and build dashboards and alerts for duplicate rate, field completeness, and match rate.
Maintain data for territory assignments and lead routing, support Sales Ops with ownership analysis, and run analyses on conversion, coverage, and missing accounts.
Automate recurring data cleanup and validation with the Sales Systems engineer.
Requirements
2+ years of experience in sales operations, revenue operations, marketing operations, or data analytics at a B2B company.
Strong SQL and advanced Excel or Google Sheets skills; ability to build models and analyses from raw, messy data.
Hands-on Salesforce data experience, including Data Loader, Workbench, or a deduplication tool, and a solid understanding of the Salesforce object model.
A detail-first mindset with the ability to identify unusual numbers and trace issues to their root cause.
Ownership of defining data standards and strong documentation habits.
Nice to have
Python experience.
Experience with ZoomInfo, Clay, Apollo, LeanData, Cloudingo, or DemandTools.
Familiarity with Looker, Tableau, Hex, Snowflake, or BigQuery.
Experience using AI coding assistants to automate data work.
Culture & Benefits
Values customer focus, speed, attention to detail, self-direction, truth-seeking, and removing blockers.
Equal opportunity employer.
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